Chauhan Sathyajeeth S, Gutierrez Carlos A, Thirugnanasambandam Mirunalini, De Oliveira Victor, Muluk Satish C, Eskandari Mark K, Finol Ender A
UTSA/UTHSCSA Joint Graduate Program in Biomedical Engineering, University of Texas at San Antonio, San Antonio, TX, USA.
Department of Management Science and Statistics, University of Texas at San Antonio, San Antonio, TX, USA.
Ann Biomed Eng. 2017 Aug;45(8):1908-1916. doi: 10.1007/s10439-017-1837-1. Epub 2017 Apr 25.
Abdominal aortic aneurysm (AAA) is a prevalent cardiovascular disease characterized by the focal dilation of the aorta, which supplies blood to all the organs and tissues in the systemic circulation. With the AAA increasing in diameter over time, the risk of aneurysm rupture is generally associated with the size of the aneurysm. If diagnosed on time, intervention is recommended to prevent AAA rupture. The criterion to decide on surgical intervention is determined by measuring the maximum diameter of the aneurysm relative to the critical value of 5.5 cm. However, a more reliable approach could be based on understanding the biomechanical behavior of the aneurysmal wall. In addition, geometric features that are proven to be significant predictors of the AAA wall mechanics could be used as surrogates of the AAA biomechanical behavior and, subsequently, of the aneurysm's risk of rupture. The aim of this work is to identify those geometric indices that have a high correlation with AAA wall stress in the population of patients who received an emergent repair of their aneurysm. In-house segmentation and meshing algorithms were used to model 75 AAAs followed by estimation of the spatially distributed wall stress by performing finite element analysis. Fifty-two shape and size geometric indices were calculated for the same models using MATLAB scripting. Hypotheses testing were carried out to identify the indices significantly correlated with wall stress by constructing a Pearson's correlation coefficient matrix. The analyses revealed that 12 indices displayed high correlation with the wall stress, amongst which wall thickness and curvature-based indices exhibited the highest correlations. Stepwise regression analysis of these correlated indices indicated that wall stress can be predicted by the following four indices with an accuracy of 76%: maximum aneurysm diameter, aneurysm sac length, average wall thickness at the maximum diameter cross-section, and the median of the wall thickness variance. The primary outcome of this work emphasizes the use of global measures of size and wall thickness as geometric surrogates of wall stress for emergently repaired AAAs.
腹主动脉瘤(AAA)是一种常见的心血管疾病,其特征是主动脉局部扩张,主动脉为体循环中的所有器官和组织供血。随着腹主动脉瘤直径随时间增加,动脉瘤破裂的风险通常与动脉瘤的大小相关。如果能及时诊断,建议进行干预以预防腹主动脉瘤破裂。决定手术干预的标准是通过测量动脉瘤的最大直径相对于5.5厘米的临界值来确定的。然而,一种更可靠的方法可能是基于了解动脉瘤壁的生物力学行为。此外,已被证明是腹主动脉瘤壁力学重要预测指标的几何特征可作为腹主动脉瘤生物力学行为的替代指标,进而作为动脉瘤破裂风险的替代指标。这项工作的目的是在接受动脉瘤紧急修复的患者群体中,识别那些与腹主动脉瘤壁应力高度相关的几何指标。使用内部分割和网格划分算法对75个腹主动脉瘤进行建模,然后通过有限元分析估计空间分布的壁应力。使用MATLAB脚本为相同模型计算了52个形状和尺寸几何指标。通过构建皮尔逊相关系数矩阵进行假设检验,以识别与壁应力显著相关的指标。分析表明,12个指标与壁应力显示出高度相关性,其中壁厚和基于曲率的指标相关性最高。对这些相关指标的逐步回归分析表明,壁应力可以通过以下四个指标预测,准确率为76%:动脉瘤最大直径、动脉瘤囊长度、最大直径横截面处的平均壁厚以及壁厚方差的中位数。这项工作的主要成果强调使用大小和壁厚的全局测量作为紧急修复腹主动脉瘤壁应力的几何替代指标。